PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (403 utterances, 1,438 words searched).

  1. bing ! 1618107_1619647 MOT · french/lyon_nat11a.cha, line 1262 · Nathan 1;05
  2. bing ! 1619647_1624412 MOT · french/lyon_nat11a.cha, line 1267 · Nathan 1;05
  3. bing ! 1663395_1670025 MOT · french/lyon_nat11a.cha, line 1306 · Nathan 1;05
  4. bing ! MOT · french/lyon_nat11a.cha, line 1326 · Nathan 1;05
  1. MOTvoilà ! 1592142_1593585
    MOTon ferme ? 1593585_1595885
    MOT*MOT: bing ! 1618107_1619647
    MOT(a)ttention la tête !
    MOTbing ! 1619647_1624412
  2. MOTbing ! 1618107_1619647
    MOT(a)ttention la tête !
    MOT*MOT: bing ! 1619647_1624412
    MOTles mains .
    MOThop !
  3. MOTtiens . 1652547_1655138
    CHIwww [= ! rit] . 1655138_1663395
    MOT*MOT: bing ! 1663395_1670025
    MOT(a)ttention . 1670025_1672388
    MOThop ! 1672388_1673567
  4. CHIwww [= ! rit] .
    MOThop ! 1678915_1680605
    MOT*MOT: bing !
    MOTsur la tête . 1680605_1682127
    CHIwww [= ! rit] .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Nathan french2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat11a.chaNathan 1;5.121,438442.78

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. bing4 · 100.0%